Last updated: 2017-03-06

Code version: c7339fc

Pre-requisites

include the most complex concepts required to understand the material.

Overview

Suppose we have a logistic regression \(Y_i | X_i \sim Bern(p_i)\) where \[log(p_i/(1-p_i)) = \mu + \theta X_i.\]

We will assume that \(X_i \in {-1,+1}\), and assume priors for \(\mu\) and \(\theta\): \[\mu \sim N(0,100)\] \[\theta \sim N(0,1)\]

For illustration we simulate data where \(\mu=\theta=0\):

x = sample(c(-1,1),1000,replace=TRUE)
y = rbinom(1000,1,0.5)

#b is a vector b=(mu,theta)
#loglikelihood for logistic regression
loglik = function(b){
  eta = b[1]+b[2]*x
  p = exp(eta)/(1+exp(eta))
  return(sum(log(y*p+(1-y)*(1-p))))
}

#b is a vector b=(mu,theta)
log_prior = function(b){
  return(dnorm(b[1],0,10, log=TRUE)+dnorm(b[2],0,1,log=TRUE))
}

#b is a vector b=(mu,theta)
log_post = function(b){
  return(loglik(b)+log_prior(b))
}

Let’s compute a 95% CI for \(\theta\). First try a discrete grid

Note: This is still a work in progress.

m = seq(-10,10,length=100)
t = seq(-2,2,length=100)
df = expand.grid(m=m,t=t)
head(df)
#df = c(df,dplyr::ddply(df,log_post))

Definition

Examples

Session information

sessionInfo()
R version 3.3.2 (2016-10-31)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 14.04.5 LTS

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] knitr_1.15.1       MASS_7.3-45        expm_0.999-0      
[4] Matrix_1.2-8       workflowr_0.4.0    rmarkdown_1.3.9004

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.9     lattice_0.20-34 gtools_3.5.0    digest_0.6.12  
 [5] rprojroot_1.2   mime_0.5        R6_2.2.0        grid_3.3.2     
 [9] xtable_1.8-2    backports_1.0.5 git2r_0.18.0    magrittr_1.5   
[13] evaluate_0.10   stringi_1.1.2   tools_3.3.2     stringr_1.2.0  
[17] shiny_1.0.0     httpuv_1.3.3    yaml_2.1.14     htmltools_0.3.5

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